| tPareto | R Documentation | 
Density, distribution function, quantile function and random generation for the truncated Pareto distribution.
dtpareto(x, shape, scale = 1, endpoint = Inf, log = FALSE)
ptpareto(x, shape, scale = 1, endpoint = Inf, lower.tail = TRUE, log.p = FALSE)
qtpareto(p, shape, scale = 1, endpoint = Inf, lower.tail = TRUE, log.p = FALSE)
rtpareto(n, shape, scale = 1, endpoint = Inf)
x | 
 Vector of quantiles.  | 
p | 
 Vector of probabilities.  | 
n | 
 Number of observations.  | 
shape | 
 The shape parameter of the truncated Pareto distribution, a strictly positive number.  | 
scale | 
 The scale parameter of the truncated Pareto distribution, a strictly positive number. Its default value is   | 
endpoint | 
 Endpoint of the truncated Pareto distribution. The default value is   | 
log | 
 Logical indicating if the densities are given as   | 
lower.tail | 
 Logical indicating if the probabilities are of the form   | 
log.p | 
 Logical indicating if the probabilities are given as   | 
The Cumulative Distribution Function (CDF) of the truncated Pareto distribution is equal to
F_T(x) = F(x) / F(T) for x \le T where F is the CDF of an ordinary Pareto distribution and T is the endpoint (truncation point) of the truncated Pareto distribution.
dtpareto gives the density function evaluated in x, ptpareto the CDF evaluated in x and qtpareto the quantile function evaluated in p. The length of the result is equal to the length of x or p.
rtpareto returns a random sample of length n.
Tom Reynkens
Pareto, Distributions
# Plot of the PDF
x = seq(1,10,0.01)
plot(x, dtpareto(x, shape=2, endpoint=10), xlab="x", ylab="PDF", type="l")
# Plot of the CDF
x = seq(1,10,0.01)
plot(x, ptpareto(x, shape=2, endpoint=10), xlab="x", ylab="CDF", type="l")
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